- Documentation
- Red Hat OpenShift Service on AWS
- Support
- Remote health monitoring with connected clusters
- Using Insights Operator history bug_report picture_as_pdf
- About
- What's new
- Introduction to ROSA
- Tutorials
- Verifying Permissions for a ROSA STS Deployment
- Configuring log forwarding for CloudWatch logs and STS
- Using AWS WAF and Amazon CloudFront to protect ROSA workloads
- Using AWS WAF and AWS ALBs to protect ROSA workloads
- Deploying OpenShift API for Data Protection on a ROSA cluster
- AWS Load Balancer Operator on ROSA
- Configuring ROSA/OSD to use custom TLS ciphers on the ingress controllers
- Configuring Microsoft Entra ID (formerly Azure Active Directory) as an identity provider
- Using AWS Secrets Manager CSI on ROSA with STS
- Using AWS Controllers for Kubernetes on ROSA
- Deploying the External DNS Operator on ROSA
- Dynamically issuing certificates using the cert-manager Operator on ROSA
- Assigning consistent egress IP for external traffic
- Getting started with ROSA
- Getting started
- Prepare your environment
- Install ROSA with HCP clusters
- Install ROSA Classic clusters
- Creating a ROSA cluster with STS using the default options
- Creating a ROSA cluster with STS using customizations
- Interactive cluster creation mode reference
- Creating an AWS PrivateLink cluster on ROSA
- Configuring a shared virtual private cloud for ROSA clusters
- Accessing a ROSA cluster
- Configuring identity providers using Red Hat OpenShift Cluster Manager
- Revoking access to a ROSA cluster
- Deleting a ROSA cluster
- Deploying ROSA without AWS STS
- AWS prerequisites for ROSA
- Understanding the ROSA deployment workflow
- Required AWS service quotas
- Configuring your AWS account
- Installing the ROSA CLI
- Creating a ROSA cluster without AWS STS
- Configuring a private cluster
- Deleting access to a ROSA cluster
- Deleting a ROSA cluster
- Command quick reference for creating clusters and users
- Support
- Support overview
- Managing your cluster resources
- Getting support
- Remote health monitoring with connected clusters
- Summarizing cluster specifications
- Troubleshooting
- Troubleshooting ROSA installations
- Verifying node health
- Troubleshooting Operator issues
- Investigating pod issues
- Troubleshooting storage issues
- Investigating monitoring issues
- Diagnosing OpenShift CLI (oc) issues
- Troubleshooting expired offline access tokens
- Troubleshooting IAM roles
- Troubleshooting cluster deployments
- Red Hat OpenShift Service on AWS managed resources
- Web console
- CLI tools
- Red Hat OpenShift Cluster Manager
- Cluster administration
- Security and compliance
- Authentication and authorization
- Authentication and authorization overview
- Understanding authentication
- Managing user-owned OAuth access tokens
- Configuring identity providers
- Using RBAC to define and apply permissions
- Understanding and creating service accounts
- Using service accounts in applications
- Using a service account as an OAuth client
- Assuming an AWS IAM role for a service account
- Scoping tokens
- Using bound service account tokens
- Managing security context constraints
- Understanding and managing pod security admission
- Syncing LDAP groups
- Upgrading
- CI/CD
- Images
- Overview of images
- Overview of the Cluster Samples Operator
- Using the Cluster Samples Operator with an alternate registry
- Creating images
- Managing images
- Managing image streams
- Using image streams with Kubernetes resources
- Triggering updates on image stream changes
- Image configuration resources
- Using templates
- Using Ruby on Rails
- Using images
- Add-on services
- Storage
- Registry
- Operators
- Operators overview
- Understanding Operators
- User tasks
- Administrator tasks
- Developing Operators
- About the Operator SDK
- Installing the Operator SDK CLI
- Go-based Operators
- Ansible-based Operators
- Helm-based Operators
- Defining cluster service versions (CSVs)
- Working with bundle images
- Complying with pod security admission
- Validating Operators using the scorecard
- Validating Operator bundles
- High-availability or single-node cluster detection and support
- Configuring built-in monitoring with Prometheus
- Configuring leader election
- Object pruning utility
- Migrating package manifest projects to bundle format
- Operator SDK CLI reference
- Migrating to Operator SDK v0.1.0
- Networking
- Application development
- Backing up and restoring applications
- Nodes
- Overview of nodes
- Working with pods
- Automatically scaling pods with the Custom Metrics Autoscaler Operator
- Custom Metrics Autoscaler Operator overview
- Custom Metrics Autoscaler Operator release notes
- Installing the custom metrics autoscaler
- Understanding the custom metrics autoscaler triggers
- Understanding the custom metrics autoscaler trigger authentications
- Pausing the custom metrics autoscaler
- Gathering audit logs
- Gathering debugging data
- Viewing Operator metrics
- Understanding how to add custom metrics autoscalers
- Removing the Custom Metrics Autoscaler Operator
- Controlling pod placement onto nodes (scheduling)
- About pod placement using the scheduler
- Placing pods relative to other pods using pod affinity and anti-affinity rules
- Controlling pod placement on nodes using node affinity rules
- Placing pods onto overcommited nodes
- Controlling pod placement using node taints
- Placing pods on specific nodes using node selectors
- Controlling pod placement using pod topology spread constraints
- Using Jobs and DaemonSets
- Working with nodes
- Working with containers
- Understanding containers
- Using Init Containers to perform tasks before a pod is deployed
- Using volumes to persist container data
- Mapping volumes using projected volumes
- Allowing containers to consume API objects
- Copying files to or from a container
- Executing remote commands in a container
- Using port forwarding to access applications in a container
- Working with clusters
- Logging
- Release notes
- Support
- About Logging
- Installing Logging
- Updating Logging
- Visualizing logs
- Accessing the service logs
- Viewing cluster logs in the AWS Console
- Configuring your Logging deployment
- Logging using LokiStack
- Log collection and forwarding
- Logging alerts
- Troubleshooting Logging
- Uninstalling Logging
- Exported fields
- API reference
- Glossary
- Monitoring
- Monitoring overview
- Accessing monitoring for user-defined projects
- Configuring the monitoring stack
- Disabling monitoring for user-defined projects
- Enabling alert routing for user-defined projects
- Managing metrics
- Managing alerts
- Reviewing monitoring dashboards
- Accessing third-party monitoring APIs
- Troubleshooting monitoring issues
- Config map reference for the Cluster Monitoring Operator
- Service Mesh
- Service Mesh 2.x
- About OpenShift Service Mesh
- Service Mesh 2.x release notes
- Service Mesh architecture
- Service Mesh deployment models
- Service Mesh and Istio differences
- Preparing to install Service Mesh
- Installing the Operators
- Creating the ServiceMeshControlPlane
- Adding workloads to a service mesh
- Enabling sidecar injection
- Upgrading Service Mesh
- Managing users and profiles
- Security
- Traffic management
- Metrics, logs, and traces
- Performance and scalability
- Deploying to production
- Federation
- Extensions
- 3scale WebAssembly for 2.1
- 3scale Istio adapter for 2.0
- Troubleshooting Service Mesh
- Control plane configuration reference
- Kiali configuration reference
- Jaeger configuration reference
- Uninstalling Service Mesh
- Service Mesh 1.x
- Service Mesh 1.x release notes
- Service Mesh architecture
- Service Mesh and Istio differences
- Preparing to install Service Mesh
- Installing Service Mesh
- Security
- Traffic management
- Deploying applications on Service Mesh
- Data visualization and observability
- Custom resources
- 3scale Istio adapter for 1.x
- Removing Service Mesh
- Service Mesh 2.x
- Serverless
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Using the Insights Operator
The Insights Operator periodically gathers configuration and component failure status and, by default, reports that data every two hours to Red Hat. This information enables Red Hat to assess configuration and deeper failure data than is reported through Telemetry. Users of Red Hat OpenShift Service on AWS can display the report in the Insights Advisor service on Red Hat Hybrid Cloud Console.
Additional resources
-
For more information on using Insights Advisor to identify issues with your cluster, see Using Insights to identify issues with your cluster.
Understanding Insights Operator alerts
The Insights Operator declares alerts through the Prometheus monitoring system to the Alertmanager. You can view these alerts in the Alerting UI in the Red Hat OpenShift Service on AWS web console by using one of the following methods:
-
In the Administrator perspective, click Observe → Alerting.
-
In the Developer perspective, click Observe → <project_name> → Alerts tab.
Currently, Insights Operator sends the following alerts when the conditions are met:
| Alert | Description |
|---|---|
|
Insights Operator is disabled. |
|
Simple content access is not enabled in Red Hat Subscription Management. |
|
Insights has an active recommendation for the cluster. |